For the latter employ the same design but adjust for multiplicity (i.e., 95% CI, slide 23).
If you expect a CVwR <43% the Type I Error might be inflated. You can iteratively adjust α (see here and there) with the R-package PowerTOST. Call scABEL.ad(alpha = 0.025, design = "2x3x3", ...), where in ... you provide the observed CVwR and sample size (in the case of drop-outs: subjects/sequence). In case of unbalanced sequences use the argument sdsims = TRUE (slower but more accurate).

—Cheers,
Helmut Schütz

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